Results 71 to 80 of about 25,371 (266)
Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim +3 more
wiley +1 more source
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary In treating dynamic systems, sequential Monte Carlo methods use discrete samples to represent a complicated probability distribution and use rejection sampling, importance sampling and weighted resampling to complete the on-line ‘filtering’ task. We propose a special sequential Monte Carlo method, the mixture Kalman filter, which
Chen, Rong, Liu, Jun S.
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Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting
Energy Science &Engineering, EarlyView.ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che +4 more
wiley +1 more source
Energy Science &Engineering, EarlyView.This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat +2 more
wiley +1 more source
Application of Kalman filter in underground personnel tracking and positioning
Gong-kuang zidonghua, 2013 In view of problem that RSSI location algorithm does not have continuity in positioning process, the paper proposed an underground personnel positioning method with continuity based on Kalman filter.
LUO Yu-feng, LIU Yong, LI Fang
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An adequacy‐for‐purpose perspective for the environmental sciences
Frontiers in Ecology and the Environment, EarlyView.The range of datasets, methods, and other tools available for environmental research and decision‐making is rapidly expanding. How should the quality of these tools be evaluated? When are new resources better than existing resources? We advocate an adequacy‐for‐purpose perspective, according to which the quality of environmental research tools depends ...
Wendy S Parker +3 more
wiley +1 more source
The Kalman Filter Revisited Using Maximum Relative Entropy
Entropy, 2014 In 1960, Rudolf E. Kalman created what is known as the Kalman filter, which is a way to estimate unknown variables from noisy measurements. The algorithm follows the logic that if the previous state of the system is known, it could be used as the best ...
Adom Giffin, Renaldas Urniezius
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Geometry of Kalman Filters [PDF]
, 2012 In this paper is presented a geometric explanation of Kalman filters in terms of a symplectic linear space and a special quadratic form on it. It is an extension of the work of Bougerol with application of a different metric introduced earlier. The author's purpose in this paper is to show that both contraction properties can be understood purely in ...
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The Sector Liquidity Timing Ability of Bond Mutual Funds
International Journal of Finance &Economics, EarlyView.ABSTRACT We investigate whether bond mutual fund managers exhibit market liquidity timing skills in the U.S. corporate bond market. At the portfolio level, we find only weak evidence that bond funds adjust their overall market exposure in anticipation of changes in corporate bond market liquidity.
Zhengnan Yin +3 more
wiley +1 more source
Applications of the Kalman Filter in Physical Processes: A Review
Applied SciencesThis article outlines various specialized adaptations of the Kalman Filter designed to address specific estimation challenges across different domains of Physics.
Ioanna Anagnostaki +2 more
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